Jobs · Engineering · California

Lead Sensors Engineer

Sabi · San Francisco, CA · 2 wk ago
EngineeringContract

About the role

Lead the sensor system architecture and R&D for the product's non-EEG sensing.
Design, select, and evaluate the sensor suite, with optical sensing as the primary focus: Optical: PPG and SpO₂ (primary focus)
Inertial: accelerometer and gyroscope
Body temperature
Environmental: ambient temperature, humidity, light, and barometric pressure
Own heart-rate and HRV estimation, including the algorithms that stay accurate while the wearer is in motion.
Drive sensor front-end design and component selection, with BOM ownership and second-source strategy, partnering with the EE lead on schematic and layout.
Develop the signal conditioning, calibration, and characterization methods across the sensor suite.
Define the sensor-fusion approach that combines these streams into reliable signals for the AI assistant.
Specify the electrical, mechanical, and firmware interfaces each sensor needs, partnering with product design on skin-contact placement and optical windows, and with firmware on the acquisition runtime and hardware-aligned cross-sensor timestamping.
Partner with the AI/ML lead on anything that becomes a learned model, and with the reliability lead on skin-contact durability, sweat tolerance, and long-wear stability.
Lead technical reviews and design documentation for the sensing system.
Ship the product by end of year, and build and lead the sensing team.

Responsibilities

  • Lead the sensor system architecture and R&D for the product's non-EEG sensing.
  • Design, select, and evaluate the sensor suite, with optical sensing as the primary focus: Optical: PPG and SpO₂ (primary focus)
  • Inertial: accelerometer and gyroscope
  • Body temperature
  • Environmental: ambient temperature, humidity, light, and barometric pressure
  • Own heart-rate and HRV estimation, including the algorithms that stay accurate while the wearer is in motion.
  • Drive sensor front-end design and component selection, with BOM ownership and second-source strategy, partnering with the EE lead on schematic and layout.
  • Develop the signal conditioning, calibration, and characterization methods across the sensor suite.
  • Define the sensor-fusion approach that combines these streams into reliable signals for the AI assistant.
  • Specify the electrical, mechanical, and firmware interfaces each sensor needs, partnering with product design on skin-contact placement and optical windows, and with firmware on the acquisition runtime and hardware-aligned cross-sensor timestamping.
  • Partner with the AI/ML lead on anything that becomes a learned model, and with the reliability lead on skin-contact durability, sweat tolerance, and long-wear stability.
  • Lead technical reviews and design documentation for the sensing system.
  • Ship the product by end of year, and build and lead the sensing team.

Requirements

  • 10+ years in sensor or hardware development for consumer wearables, with at least one shipped product where you owned a sensing system end-to-end.
  • Deep expertise in optical PPG: front-end design and motion-robust heart-rate and HRV algorithms validated in real-world wearable conditions.
  • Strong analog front-end design background, including noise, signal integrity, and low-power sensing systems.
  • Experience integrating sensors in wearables: selection, calibration, characterization, and data analysis.
  • Direct experience owning sensor selection, benchmarking, and BOM, including second-source strategy.
  • Hands-on in the lab (oscilloscope, logic analyzer), and comfortable partnering with EE, firmware, and ME, and with overseas CMs.

Qualifications

  • Nice-to-haves include:
  • Inertial-sensing algorithms: activity, gesture, and context classification, and orientation estimation.
  • Additional health sensors: SpO₂, ECG, EDA, or EMG.
  • Contact-based body-temperature measurement: thermal modeling, calibration, and ambient compensation.
  • Multimodal sensor fusion across optical, inertial, and temperature streams.
  • Knowledge of human physiology or biomechanics.
  • Biocompatible skin-contact and dry-contact sensor interfaces.
  • Always-on, ultra-low-power sensing architectures.
  • Founding engineer or lead-level experience at an early-stage consumer hardware company.

Skills

  • Must have deep expertise in optical PPG.
  • Strong analog front-end design background.
  • Experience integrating sensors in wearables.
  • Hands-on in the lab.
  • Comfortable partnering with EE, firmware, and ME, and with overseas CMs.

Benefits

  • Competitive base salary
  • Meaningful equity package
  • 401(k) with company matching
  • Health insurance
  • Flexible PTO

Pay

Competitive base salary

Schedule

Full time

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